Introduction to Structural Bioinformatics

Introduction to Structural Bioinformatics offers a complete overview to the fundamental concepts and methodologies of structural bioinformatics and computational structural biology. The book is divided into three sections, beginning with a discussion of the key principles of bioinformatics and fundamental aspects including bioinformatics databases, multiple sequence alignment and machine learning. Section two then moves on to structural bioinformatics, where topics include Monte Carlo simulation, protein structure prediction, RNA structure prediction, and protein design. The final section of the book focuses on experimental structural determination, where chapters focus on techniques including X-ray crystallography, nuclear magnetic resonance and cryo-electron microscopy. This is an ideal guide to the key principles, methods and most up-to-date developments across structural bioinformatics and computational structural biology, providing a comprehensive reference for postgraduate students, instructors and researchers working in these and adjacent subjects.

• Discusses cutting-edge AI and deep-learning techniques, including AlphaFold and D-I-TASSER, and their impact on structural bioinformatics
• Explores protein and RNA structure prediction
• Considers the most recent advances in the field as well as more classical physics-based approaches
• Features chapter outlines, definitions, key learning objectives, and case studies throughout the book to aid comprehension